Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
- Autores
- Díaz López, Juan Manuel; Mateos, Diego Martín; Boyallián, Carina
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.
Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.
Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.
Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.
In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems theory such as entropy and complexity have been presented as an alternative to address this problem. In this work, we introduce a novel method-the permutation Lempel-Ziv Complexity vs. Permutation Entropy map. We apply this method to the EEGs of two patients with specific diagnosed pathologies during respective follow up processes of pharmacological changes in order to detect alterations that are not evident with the usual inspection method. The method allows for comparing between different states of the patients´ treatment, with a healthy control group, given global information about the signal, supplementing the traditional method of visual inspection of EEG.
http://www.mdpi.com/1099-4300/19/10/540
publishedVersion
Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.
Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.
Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.
Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.
Otras Ciencias Naturales y Exactas - Materia
-
Permutation entropy
Permutation complexity
Pharmacological treatment
Electroencephalography - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Repositorio
- Institución
- Universidad Nacional de Córdoba
- OAI Identificador
- oai:rdu.unc.edu.ar:11086/555684
Ver los metadatos del registro completo
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Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugsDíaz López, Juan ManuelMateos, Diego MartínBoyallián, CarinaPermutation entropyPermutation complexityPharmacological treatmentElectroencephalographyFil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems theory such as entropy and complexity have been presented as an alternative to address this problem. In this work, we introduce a novel method-the permutation Lempel-Ziv Complexity vs. Permutation Entropy map. We apply this method to the EEGs of two patients with specific diagnosed pathologies during respective follow up processes of pharmacological changes in order to detect alterations that are not evident with the usual inspection method. The method allows for comparing between different states of the patients´ treatment, with a healthy control group, given global information about the signal, supplementing the traditional method of visual inspection of EEG.http://www.mdpi.com/1099-4300/19/10/540publishedVersionFil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.Otras Ciencias Naturales y Exactashttps://orcid.org/0000-0001-7068-4004https://orcid.org/0000-0002-1953-0875https://orcid.org/0000-0001-9347-89402017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfDíaz López, J. M., Mateos, D. M. y Boyallián, C. (2017). Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs. Entropy, 19 (10). https://doi.org/10.3390/e19100540http://hdl.handle.net/11086/5556841099-4300https://doi.org/10.3390/e19100540enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-04T12:32:11Zoai:rdu.unc.edu.ar:11086/555684Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-04 12:32:12.203Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse |
dc.title.none.fl_str_mv |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs |
title |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs |
spellingShingle |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs Díaz López, Juan Manuel Permutation entropy Permutation complexity Pharmacological treatment Electroencephalography |
title_short |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs |
title_full |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs |
title_fullStr |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs |
title_full_unstemmed |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs |
title_sort |
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs |
dc.creator.none.fl_str_mv |
Díaz López, Juan Manuel Mateos, Diego Martín Boyallián, Carina |
author |
Díaz López, Juan Manuel |
author_facet |
Díaz López, Juan Manuel Mateos, Diego Martín Boyallián, Carina |
author_role |
author |
author2 |
Mateos, Diego Martín Boyallián, Carina |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
https://orcid.org/0000-0001-7068-4004 https://orcid.org/0000-0002-1953-0875 https://orcid.org/0000-0001-9347-8940 |
dc.subject.none.fl_str_mv |
Permutation entropy Permutation complexity Pharmacological treatment Electroencephalography |
topic |
Permutation entropy Permutation complexity Pharmacological treatment Electroencephalography |
dc.description.none.fl_txt_mv |
Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina. Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá. Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá. Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina. Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina. In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems theory such as entropy and complexity have been presented as an alternative to address this problem. In this work, we introduce a novel method-the permutation Lempel-Ziv Complexity vs. Permutation Entropy map. We apply this method to the EEGs of two patients with specific diagnosed pathologies during respective follow up processes of pharmacological changes in order to detect alterations that are not evident with the usual inspection method. The method allows for comparing between different states of the patients´ treatment, with a healthy control group, given global information about the signal, supplementing the traditional method of visual inspection of EEG. http://www.mdpi.com/1099-4300/19/10/540 publishedVersion Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina. Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá. Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá. Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina. Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina. Otras Ciencias Naturales y Exactas |
description |
Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
Díaz López, J. M., Mateos, D. M. y Boyallián, C. (2017). Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs. Entropy, 19 (10). https://doi.org/10.3390/e19100540 http://hdl.handle.net/11086/555684 1099-4300 https://doi.org/10.3390/e19100540 |
identifier_str_mv |
Díaz López, J. M., Mateos, D. M. y Boyallián, C. (2017). Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs. Entropy, 19 (10). https://doi.org/10.3390/e19100540 1099-4300 |
url |
http://hdl.handle.net/11086/555684 https://doi.org/10.3390/e19100540 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositorio Digital Universitario (UNC) instname:Universidad Nacional de Córdoba instacron:UNC |
reponame_str |
Repositorio Digital Universitario (UNC) |
collection |
Repositorio Digital Universitario (UNC) |
instname_str |
Universidad Nacional de Córdoba |
instacron_str |
UNC |
institution |
UNC |
repository.name.fl_str_mv |
Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba |
repository.mail.fl_str_mv |
oca.unc@gmail.com |
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1842349632375488512 |
score |
13.13397 |